Implementing a low-complexity, adaptive, layered video coder for video teleconferencing

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February 3, 2012 | History

Implementing a low-complexity, adaptive, layered video coder for video teleconferencing

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Real-time interactive video applications, such as video teleconferencing, present difficult challenges to network designers due to strict quality of service constraints and the limitations of traditional video compression schemes. These limitations reveal themselves notably in two areas: poor error robustness and a lack of flexibility when dealing with multicast scenarios over heterogeneous networks. A more promising approach that improves error robustness while also offering a solution to the network heterogeneity problem is to employ a layered video codec. This thesis presents the implementation of a new layered video coder scheme. Block updating coupled with an aging algorithm is used in this scheme to select macroblocks for transmission. Block updating selects macroblocks that have changed due to scene motion, and the aging algorithm ensures that an entire frame is transmitted within a set time interval. Layering is accomplished through application of the fast Haar transform and/or the discrete cosine transform. Layer assignments are made by grouping bands of coefficients with similar variances. Quantization and encoding for motion video employs both an industry standard and uniform quantization with a custom variable length coding table. For static slides, uniform quantization and a second custom variable length coding table are employed. Rate control is accomplished via the reduction of a four-dimensional operational distortion surface to a one-dimensional optimal curve implemented as a simple table lookup of quantizers.

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Cover of: Implementing a low-complexity, adaptive, layered video coder for video teleconferencing
Implementing a low-complexity, adaptive, layered video coder for video teleconferencing
1999, Naval Postgraduate School, Available from National Technical Information Service
in English

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Edition Notes

"September 1999".

Thesis advisor(s): Murali Tummala.

Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, September 1999.

Includes bibliographical references (p. 103-105).

Approved for public release; distribution unlimited.

Also Available online.

Mode of access: World Wide Web.

System Requirements: Adobe Acrobat reader.

US Navy (USN) author.

dk/dk cc:9116 03/01/00

Published in
Monterey, Calif, Springfield, Va

The Physical Object

Pagination
xvii, 107 p. ;
Number of pages
107

ID Numbers

Open Library
OL25191079M
Internet Archive
implementinglowc00skre

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